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» Model Selection for Range Segmentation of Curved Objects
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SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
14 years 1 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
TOG
2012
187views Communications» more  TOG 2012»
11 years 10 months ago
CrossShade: shading concept sketches using cross-section curves
We facilitate the creation of 3D-looking shaded production drawings from concept sketches. The key to our approach is a class of commonly used construction curves known as cross-s...
Cloud Shao, Adrien Bousseau, Alla Sheffer, Karan S...
ICCV
2005
IEEE
14 years 1 months ago
Shape from Symmetry
We describe a technique for reconstructing probable occluded surfaces from 3-D range images. The technique exploits the fact that many objects possess shape symmetries that can be...
Sebastian Thrun, Ben Wegbreit
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 7 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
ECCV
1992
Springer
13 years 11 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood